Tatsuro Yamada

According to our database, Tatsuro Yamada authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics.

Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada, Kei Kase, Tetsuya Ogata

CoRR, 2023

2019

WO3-based Hydrogen Gas Sensors Using Stacked Thin Films with Interspace.

Tatsuro Yamada, Tomiharu Yamaguchi, Kazuhiro Hara

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018

Paired Recurrent Autoencoders for Bidirectional Translation Between Robot Actions and Linguistic Descriptions.

Tatsuro Yamada, Hiroyuki Matsunaga, Tetsuya Ogata

IEEE Robotics Autom. Lett., 2018

2017

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata

Frontiers Neurorobotics, 2017

Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience.

Tatsuro Yamada, Saki Ito, Hiroaki Arie, Tetsuya Ogata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network.

Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, Tetsuya Ogata

Proceedings of the Music Technology with Swing - 13th International Symposium, 2017

2016

Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata

Frontiers Neurorobotics, 2016

Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction.

Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment.

Shingo Murata, Saki Tomioka, Ryoichi Nakajo, Tatsuro Yamada, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015